TY - JOUR
T1 - Admittance-Adaptive Model-Based Approach to Mitigate Biodynamic Feedthrough
AU - Venrooij, Joost
AU - Mulder, Max
AU - Mulder, Mark
AU - Abbink, David A.
AU - Van Paassen, Marinus M.
AU - Van Der Helm, Frans C.T.
AU - Bülthoff, Heinrich H.
N1 - Funding Information:
Manuscript received May 27, 2015; revised October 23, 2015 and June 10, 2016; accepted August 10, 2016. Date of publication September 12, 2016; date of current version November 15, 2017. The work of D. Abbink was supported by NWO through VENI under Grant 10650, in part by Nissan, in part by Boeing, in part by “H-Haptics” Research Program, and in part by VIDI. This paper was recommended by Associate Editor S. Hu.
Publisher Copyright:
© 2013 IEEE.
PY - 2017/12
Y1 - 2017/12
N2 - Biodynamic feedthrough (BDFT) refers to the feedthrough of vehicle accelerations through the human body, leading to involuntary control device inputs. BDFT impairs control performance in a large range of vehicles under various circumstances. Research shows that BDFT strongly depends on adaptations in the neuromuscular admittance dynamics of the human body. This paper proposes a model-based approach of BDFT mitigation that accounts for these neuromuscular adaptations. The method was tested, as proof-of-concept, in an experiment where participants inside a motion simulator controlled a simulated vehicle through a virtual tunnel. Through evaluating tracking performance and control effort with and without motion disturbance active and with and without cancellation active, the effectiveness of the cancellation was evaluated. Results show that the cancellation approach is successful: the detrimental effects of BDFT were largely removed.
AB - Biodynamic feedthrough (BDFT) refers to the feedthrough of vehicle accelerations through the human body, leading to involuntary control device inputs. BDFT impairs control performance in a large range of vehicles under various circumstances. Research shows that BDFT strongly depends on adaptations in the neuromuscular admittance dynamics of the human body. This paper proposes a model-based approach of BDFT mitigation that accounts for these neuromuscular adaptations. The method was tested, as proof-of-concept, in an experiment where participants inside a motion simulator controlled a simulated vehicle through a virtual tunnel. Through evaluating tracking performance and control effort with and without motion disturbance active and with and without cancellation active, the effectiveness of the cancellation was evaluated. Results show that the cancellation approach is successful: the detrimental effects of BDFT were largely removed.
KW - Biodynamic feedthrough (BDFT)
KW - mitigation
KW - neuromuscular adaptation
KW - neuromuscular admittance
UR - http://www.scopus.com/inward/record.url?scp=84988366455&partnerID=8YFLogxK
U2 - 10.1109/TCYB.2016.2601638
DO - 10.1109/TCYB.2016.2601638
M3 - Article
AN - SCOPUS:84988366455
SN - 2168-2267
VL - 47
SP - 4169
EP - 4181
JO - IEEE Transactions on Cybernetics
JF - IEEE Transactions on Cybernetics
IS - 12
M1 - 7564423
ER -